@app.route('/logout', methods=['GET'])
def logout():
    response = app.make_response(redirect(request.referrer))
    session.pop('user', None)
    return response

# a helper function for asyncio.gather, does not return a value


async def getProductReviewsIgnoreResponse(product_id, headers):
    getProductReviews(product_id, headers)

            if (lockingState.mustValidateLockState() && !lockingState.getLockedDependencies().isEmpty()) {
                // Invalid lock state, need to do a real resolution to gather locking failures
                return delegate.resolveGraph(resolveContext);
            }

// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// type is the type of metric source.  It should be one of "ContainerResource",
	// "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object.
	// Note: "ContainerResource" type is available on when the feature-gate
	// HPAContainerMetrics is enabled

  // user-provided specs are appended.
  //
  // It should look like:
  //
  // specs {matcher {function_name {regex: ".*"}} method {static_range_ptq {}}}
  // specs {
  //   matcher {function_name {regex: "composite_conv.*"}}
  //   method {static_range_ptq {...}}}
  // }
  // specs {
  //   matcher {function_name {regex: "composite_dot_general_fn_1"}}
  //   method {no_quantization {}}
  // }

def LegalizeLessEqual : Pat<(TF_LessEqualOp $l, $r), (TFL_LessEqualOp $l, $r)>;
def LegalizeGreaterEqual : Pat<(TF_GreaterEqualOp $l, $r),
                               (TFL_GreaterEqualOp $l, $r)>;

// Gather in TF -> Gather in TFL with axis=0
// The 'validate_indices' attribute is deprecated.
def LegalizeGather: Pat<
  (TF_GatherOp $params, $indices, $ignored_validate_indices),

// PerTensor-LABEL: QuantizeGatherWeightOnly
func.func @QuantizeGatherWeightOnly(%arg0: tensor<3xi32>) -> tensor<3x3x3x3xf32> {
  %w = arith.constant dense<1.270000e+02> : tensor<64x3x3x3xf32>
  %emb = "tfl.gather"(%w, %arg0) {axis = 0 : i32, batch_dims = 0 : i32} : (tensor<64x3x3x3xf32>, tensor<3xi32>) -> tensor<3x3x3x3xf32>

	path             string
	vol              uint32
	idxhi            uint32
	idxlo            uint32
	appendNameToPath bool
}

// newFileStatFromGetFileInformationByHandle calls GetFileInformationByHandle
// to gather all required information about the file handle h.
func newFileStatFromGetFileInformationByHandle(path string, h syscall.Handle) (fs *fileStat, err error) {
	var d syscall.ByHandleFileInformation

	// The child process must write to a log file, not
	// the stderr file it inherited from the parent, as
	// the child may outlive the parent but should not prolong
	// the life of any pipes created (by the grandparent)
	// to gather the output of the parent.
	//
	// By default, we discard the child process's stderr,
	// but in line with the uploader, log to a file in debug
	// only if that directory was created by the user.

  //   f = scale * (q - zero_point)
  // For other quantization types, the QuantizationDetails below is used.
  min:[float];  // For importing back into tensorflow.
  max:[float];  // For importing back into tensorflow.
  scale:[float];  // For dequantizing the tensor's values.
  zero_point:[long];

  // If this is not none, the other quantization parameters (i.e. min, max,

    %5 = tfl.add %arg2, %cst_5 {fused_activation_function = "NONE"} : tensor<i32>
    %6 = tfl.add %arg1, %cst_5 {fused_activation_function = "NONE"} : tensor<i32>
    %7 = "tfl.gather"(%0, %arg2) {axis = 0 : i32} : (tensor<4x4x3xf32>, tensor<i32>) -> tensor<4x3xf32>
    %8 = "tfl.concatenation"(%7, %arg5) {axis = 1 : i32, fused_activation_function = "NONE"} : (tensor<4x3xf32>, tensor<4x2xf32>) -> tensor<4x5xf32>